ORIOS

Detects rhythmic signals. Instead of using mathematical functions (e.g. sinusoidal) to describe shape of rhythmic signals, ORIOS uses mathematical inequalities. Consequently, it is robust and not limited by the biologist’s choice of the mathematical model. The ORIOS methodology can also be extended to handle heteroscedasticity, non-normality and dependent time course experiments using resampling procedures such as the bootstrap.

This work was supported by Spanish Ministerio de Ciencia e Innovacion [MTM2015-71217-R]; Spanish Ministerio de Educacion, Cultura y Deporte [FPU14 /04534]; Intramural Research Program of the National Institute of Environmental Health Sciences [Z01 ES101744-04].